GLM-5-3 (Flagship) vs MiniMax M3.1-Flash-Preview
A direct, empirical evaluation of GLM-5-3 (Flagship) (Zhipu AI & THUDM) against MiniMax M3.1-Flash-Preview (MiniMax).
GLM-5-3 (Flagship)
Developed by Zhipu AI & THUDM · 744B parameters
Complex algorithmic reasoning, multi-step code synthesis, and long-horizon tool execution.
MiniMax M3.1-Flash-Preview
Developed by MiniMax · Proprietary Sparse Coding MoE parameters
Low-latency interactive IDE code completions at 165 tokens/sec, SWE-bench Verified bug fixes (73.8%), terminal automation, and budget-optimized pull request reviews.
| Metric | GLM-5-3 (Flagship) | MiniMax M3.1-Flash-Preview |
|---|---|---|
| SWE-bench Verified | 54.8% | 73.8% |
| MMLU-Pro | 78.4% | 81.2% |
| MATH-500 | 93.6% | 92.4% |
| Context Window | 256,000 tokens | 1,000,000 tokens |
| Input Pricing (per 1M) | $0.55 | $0.10 |
| Output Pricing (per 1M) | $2.19 | $0.40 |